Abstract
This paper applies a novel clustering method in the image set-based face recognition, called the Muti-Exemplar Affinity Propagation algorithm (MEAP)[11]. The new method is extended from the affinity propagation (AP). It is a muti-exemplar model which constructs a two-level mapping: ϕ 1 between the feature points and the exemplars, and ϕ 2 between the exemplars and the super-exemplars. In this paper, we just use the first-level mapping result, i.e the subclasses to take part in the subsequent face recognition. The experiment results in different databases indicate the excellence of our method and the robustness to face occlusion.
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Wang, Q., Lai, Jh., Liu, N., Zheng, WS. (2014). The Methods of Modeling the Image Sets Based on MEAP and Its Application on Face Recognition. In: Sun, Z., Shan, S., Sang, H., Zhou, J., Wang, Y., Yuan, W. (eds) Biometric Recognition. CCBR 2014. Lecture Notes in Computer Science, vol 8833. Springer, Cham. https://doi.org/10.1007/978-3-319-12484-1_5
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DOI: https://doi.org/10.1007/978-3-319-12484-1_5
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